most citedAdversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2022★ 3 cited

Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization

Xiaojun Xu, Jacky Yibo Zhang, Evelyn Ma +3

Machine learning (ML) robustness and domain generalization are fundamentally correlated: they essentially concern data distribution shifts under adversarial and natural settings, r…